【OneTBB】MacOS&Linux环境下配置OneTBB库

参考博客

MacOS


Linux

代码仓库


安装展示

MacOS

命令行输入

brew install tbb
View Code

 

截图展示


检查是否成功安装好

ls /usr/local/include/tbb
# 如果成功下载后,就会在 /usr/local/include下出现 tbb文件夹
View Code

 

Linux

1、获取其代码仓库(外网)

方式1:git clone

git clone https://github.com/oneapi-src/oneTBB
View Code

方式2:release 直接点击下载

Releases · oneapi-src/oneTBB

 

2、TBBConfig.cmake 配置 复制到系统中cmake

#1.先去对应的系统中library中创建/cmake/TBB
cd /usr/local/lib
mkdir cmake && cd cmake
mkdir TBB

#2.再去 oneapi-tbb-2021.11.0/lib/cmake/中 
cd oneapi-tbb-2021.11.0/lib/cmake

#3.修改文档
vim TBBConfig.make
#里面有一个 TBB_FOUND FALSE -> TRUE

#4.复制到 /usr/local/lib/cmake/TBB
cp TBBConfig*.cmake /usr/local/lib/cmake/TBB/.

#5.检查
ls /usr/local/lib/cmake/TBB/
View Code

3、TBBConfig.cmake 配置 复制到系统中cmake

3.1 查看自己是系统是32位还是64位

3.2 复制到/usr/local/lib/*.so

# 1. 到相应的目录下
cd /oneapi-tbb-2021.11.0/lib
# 2. 查看自己系统是多少位系统
uname -m #x86_64 = 64位  |  ( i686 | i386 ) = 32位
# 3. 去相应的文件夹 64位去intel64 ; 32位就去ia32
cd intel64/gcc4.8
# 4. 复制到/usr/local/lib
cp *.so* /usr/local/lib
# 5. 检查是否 成功复制了?
ls /usr/local/lib/*tbb* | wc -l
View Code

4、复制 头文件*.h 到 include下

# 1. 进入相应的目录下
cd oneapi-tbb-2021.11.0/include/oneapi
# 2. 复制目录下的东西至/usr/local/include即可
cp -rf ./* /usr/local/include
# 3. 检查一下是否 成功复制到
ls /usr/local/include/tbb
View Code

测试

CMakeList.txt

cmake_minimum_required(VERSION 3.12)
project(tbbDemo)

set(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake" ${CMAKE_MODULE_PATH})
SET(CMAKE_C_COMPILER "/usr/bin/gcc")
SET(CMAKE_CXX_COMPILER "/usr/bin/g++")

set(CMAKE_CXX_STANDARD 17)

find_package(OpenMP)
find_package(TBB REQUIRED)

add_compile_options(-O0 -Wall)


add_executable(example_mt example/example_multithread.cpp)
target_link_libraries(example_mt PUBLIC OpenMP::OpenMP_CXX TBB::tbb)
View Code

example_multithread.cpp

#include "tbb/blocked_range.h"
#include "tbb/parallel_for.h"
#include "tbb/task_scheduler_observer.h"

#include <iostream>
#include <vector>

using namespace std ;

struct mytask {
    mytask(size_t n)
            :_n(n)
    {}
    void operator()() {
        for (int i=0;i<1000000;++i) {}  // Deliberately run slow
        std::cerr << "[" << _n << "]";
    }
    size_t _n;
};

struct executor
{
    executor(std::vector<mytask>& t)
            :_tasks(t)
    {}
    executor(executor& e,tbb::split)
            :_tasks(e._tasks)
    {}

    void operator()(const tbb::blocked_range<size_t>& r) const {
        for (size_t i=r.begin();i!=r.end();++i)
            _tasks[i]();
    }

    std::vector<mytask>& _tasks;
};

int main(int,char**) {

    tbb::task_scheduler_observer init;  // Automatic number of threads
    // tbb::task_scheduler_init init(2);  // Explicit number of threads

    std::vector<mytask> tasks;
    for (int i=0;i<1000;++i)
        tasks.push_back(mytask(i));

    executor exec(tasks);
    tbb::parallel_for(tbb::blocked_range<size_t>(0,tasks.size()),exec);
    std::cerr << std::endl;
    cout<< "TEST:: Successful !!!"<<endl;
    return 0;
}
View Code

成功运行结果

 

推荐书目

        

 

 

 

 

posted @ 2023-11-24 20:56  Osea  阅读(161)  评论(0编辑  收藏  举报